import logging
import os
import warnings
from pathlib import Path
from typing import Any, Dict, Optional

import yaml
from pydantic import (
    BaseModel,
    ConfigDict,
    Field,
    StrictBool,
    StrictInt,
    StrictStr,
    ValidationError,
    ValidationInfo,
    field_validator,
    model_validator,
)

from feast.errors import (
    FeastFeatureServerTypeInvalidError,
    FeastInvalidAuthConfigClass,
    FeastOfflineStoreInvalidName,
    FeastOnlineStoreInvalidName,
    FeastRegistryNotSetError,
    FeastRegistryTypeInvalidError,
)
from feast.importer import import_class
from feast.permissions.auth.auth_type import AuthType

warnings.simplefilter("once", RuntimeWarning)

_logger = logging.getLogger(__name__)

# These dict exists so that:
# - existing values for the online store type in featurestore.yaml files continue to work in a backwards compatible way
# - first party and third party implementations can use the same class loading code path.
REGISTRY_CLASS_FOR_TYPE = {
    "file": "feast.infra.registry.registry.Registry",
    "sql": "feast.infra.registry.sql.SqlRegistry",
    "snowflake.registry": "feast.infra.registry.snowflake.SnowflakeRegistry",
    "remote": "feast.infra.registry.remote.RemoteRegistry",
}

BATCH_ENGINE_CLASS_FOR_TYPE = {
    "local": "feast.infra.compute_engines.local.compute.LocalComputeEngine",
    "snowflake.engine": "feast.infra.compute_engines.snowflake.snowflake_engine.SnowflakeComputeEngine",
    "lambda": "feast.infra.compute_engines.aws_lambda.lambda_engine.LambdaComputeEngine",
    "k8s": "feast.infra.compute_engines.kubernetes.k8s_engine.KubernetesComputeEngine",
    "spark.engine": "feast.infra.compute_engines.spark.compute.SparkComputeEngine",
    "ray.engine": "feast.infra.compute_engines.ray.compute.RayComputeEngine",
}

LEGACY_ONLINE_STORE_CLASS_FOR_TYPE = {
    "feast.infra.online_stores.contrib.postgres.PostgreSQLOnlineStore": "feast.infra.online_stores.postgres_online_store.PostgreSQLOnlineStore",
    "feast.infra.online_stores.contrib.hbase_online_store.hbase.HbaseOnlineStore": "feast.infra.online_stores.hbase_online_store.hbase.HbaseOnlineStore",
    "feast.infra.online_stores.contrib.cassandra_online_store.cassandra_online_store.CassandraOnlineStore": "feast.infra.online_stores.cassandra_online_store.cassandra_online_store.CassandraOnlineStore",
    "feast.infra.online_stores.contrib.mysql_online_store.mysql.MySQLOnlineStore": "feast.infra.online_stores.mysql_online_store.mysql.MySQLOnlineStore",
    "feast.infra.online_stores.contrib.hazelcast_online_store.hazelcast_online_store.HazelcastOnlineStore": "feast.infra.online_stores.hazelcast_online_store.hazelcast_online_store.HazelcastOnlineStore",
    "feast.infra.online_stores.contrib.ikv_online_store.ikv.IKVOnlineStore": "feast.infra.online_stores.ikv_online_store.ikv.IKVOnlineStore",
    "feast.infra.online_stores.contrib.elasticsearch.ElasticSearchOnlineStore": "feast.infra.online_stores.elasticsearch_online_store.elasticsearch.ElasticSearchOnlineStore",
    "feast.infra.online_stores.contrib.singlestore_online_store.singlestore.SingleStoreOnlineStore": "feast.infra.online_stores.singlestore_online_store.singlestore.SingleStoreOnlineStore",
    "feast.infra.online_stores.contrib.qdrant.QdrantOnlineStore": "feast.infra.online_stores.qdrant_online_store.qdrant.QdrantOnlineStore",
    "feast.infra.online_stores.contrib.milvus.MilvusOnlineStore": "feast.infra.online_stores.milvus.MilvusOnlineStore",
}

ONLINE_STORE_CLASS_FOR_TYPE = {
    "sqlite": "feast.infra.online_stores.sqlite.SqliteOnlineStore",
    "datastore": "feast.infra.online_stores.datastore.DatastoreOnlineStore",
    "redis": "feast.infra.online_stores.redis.RedisOnlineStore",
    "dynamodb": "feast.infra.online_stores.dynamodb.DynamoDBOnlineStore",
    "snowflake.online": "feast.infra.online_stores.snowflake.SnowflakeOnlineStore",
    "bigtable": "feast.infra.online_stores.bigtable.BigtableOnlineStore",
    "postgres": "feast.infra.online_stores.postgres_online_store.postgres.PostgreSQLOnlineStore",
    "hbase": "feast.infra.online_stores.hbase_online_store.hbase.HbaseOnlineStore",
    "cassandra": "feast.infra.online_stores.cassandra_online_store.cassandra_online_store.CassandraOnlineStore",
    "mysql": "feast.infra.online_stores.mysql_online_store.mysql.MySQLOnlineStore",
    "hazelcast": "feast.infra.online_stores.hazelcast_online_store.hazelcast_online_store.HazelcastOnlineStore",
    "ikv": "feast.infra.online_stores.ikv_online_store.ikv.IKVOnlineStore",
    "elasticsearch": "feast.infra.online_stores.elasticsearch_online_store.elasticsearch.ElasticSearchOnlineStore",
    "remote": "feast.infra.online_stores.remote.RemoteOnlineStore",
    "singlestore": "feast.infra.online_stores.singlestore_online_store.singlestore.SingleStoreOnlineStore",
    "qdrant": "feast.infra.online_stores.qdrant_online_store.qdrant.QdrantOnlineStore",
    "couchbase.online": "feast.infra.online_stores.couchbase_online_store.couchbase.CouchbaseOnlineStore",
    "milvus": "feast.infra.online_stores.milvus_online_store.milvus.MilvusOnlineStore",
    **LEGACY_ONLINE_STORE_CLASS_FOR_TYPE,
}

OFFLINE_STORE_CLASS_FOR_TYPE = {
    "file": "feast.infra.offline_stores.dask.DaskOfflineStore",
    "dask": "feast.infra.offline_stores.dask.DaskOfflineStore",
    "bigquery": "feast.infra.offline_stores.bigquery.BigQueryOfflineStore",
    "redshift": "feast.infra.offline_stores.redshift.RedshiftOfflineStore",
    "snowflake.offline": "feast.infra.offline_stores.snowflake.SnowflakeOfflineStore",
    "spark": "feast.infra.offline_stores.contrib.spark_offline_store.spark.SparkOfflineStore",
    "trino": "feast.infra.offline_stores.contrib.trino_offline_store.trino.TrinoOfflineStore",
    "postgres": "feast.infra.offline_stores.contrib.postgres_offline_store.postgres.PostgreSQLOfflineStore",
    "athena": "feast.infra.offline_stores.contrib.athena_offline_store.athena.AthenaOfflineStore",
    "mssql": "feast.infra.offline_stores.contrib.mssql_offline_store.mssql.MsSqlServerOfflineStore",
    "duckdb": "feast.infra.offline_stores.duckdb.DuckDBOfflineStore",
    "remote": "feast.infra.offline_stores.remote.RemoteOfflineStore",
    "couchbase.offline": "feast.infra.offline_stores.contrib.couchbase_offline_store.couchbase.CouchbaseColumnarOfflineStore",
    "clickhouse": "feast.infra.offline_stores.contrib.clickhouse_offline_store.clickhouse.ClickhouseOfflineStore",
    "ray": "feast.infra.offline_stores.contrib.ray_offline_store.ray.RayOfflineStore",
}

FEATURE_SERVER_CONFIG_CLASS_FOR_TYPE = {
    "local": "feast.infra.feature_servers.local_process.config.LocalFeatureServerConfig",
    "mcp": "feast.infra.mcp_servers.mcp_config.McpFeatureServerConfig",
}

ALLOWED_AUTH_TYPES = ["no_auth", "kubernetes", "oidc"]

AUTH_CONFIGS_CLASS_FOR_TYPE = {
    "no_auth": "feast.permissions.auth_model.NoAuthConfig",
    "kubernetes": "feast.permissions.auth_model.KubernetesAuthConfig",
    "oidc": "feast.permissions.auth_model.OidcAuthConfig",
    "oidc_client": "feast.permissions.auth_model.OidcClientAuthConfig",
}


class FeastBaseModel(BaseModel):
    """Feast Pydantic Configuration Class"""

    model_config = ConfigDict(arbitrary_types_allowed=True, extra="allow")


class FeastConfigBaseModel(BaseModel):
    """Feast Pydantic Configuration Class"""

    model_config = ConfigDict(arbitrary_types_allowed=True, extra="forbid")


class RegistryConfig(FeastBaseModel):
    """Metadata Store Configuration. Configuration that relates to reading from and writing to the Feast registry."""

    registry_type: StrictStr = "file"
    """ str: Provider name or a class name that implements Registry."""

    registry_store_type: Optional[StrictStr] = None
    """ str: Provider name or a class name that implements RegistryStore. """

    path: StrictStr = ""
    """ str: Path to metadata store.
        If registry_type is 'file', then an be a local path, or remote object storage path, e.g. a GCS URI
        If registry_type is 'sql', then this is a database URL as expected by SQLAlchemy """

    cache_ttl_seconds: StrictInt = 600
    """int: The cache TTL is the amount of time registry state will be cached in memory. If this TTL is exceeded then
     the registry will be refreshed when any feature store method asks for access to registry state. The TTL can be
     set to infinity by setting TTL to 0 seconds, which means the cache will only be loaded once and will never
     expire. Users can manually refresh the cache by calling feature_store.refresh_registry() """

    cache_mode: StrictStr = "sync"
    """str: Cache mode type. Possible options are 'sync' (immediate refresh after each write operation) and
     'thread' (asynchronous background refresh at cache_ttl_seconds intervals). In 'sync' mode, registry changes
     are immediately visible. In 'thread' mode, changes may take up to
     cache_ttl_seconds to be visible."""

    s3_additional_kwargs: Optional[Dict[str, str]] = None
    """ Dict[str, str]: Extra arguments to pass to boto3 when writing the registry file to S3. """

    purge_feast_metadata: StrictBool = False
    """ bool: Stops using feast_metadata table and delete data from feast_metadata table.
        Once this is set to True, it cannot be reverted back to False. Reverting back to False will
        only reset the project but not all the projects"""

    @field_validator("path")
    def validate_path(cls, path: str, values: ValidationInfo) -> str:
        if values.data.get("registry_type") == "sql":
            if path.startswith("postgresql://"):
                _logger.warning(
                    "The `path` of the `RegistryConfig` starts with a plain "
                    "`postgresql` string. We are updating this to `postgresql+psycopg` "
                    "to ensure that the `psycopg3` driver is used by `sqlalchemy`. If "
                    "you want to use `psycopg2` pass `postgresql+psycopg2` explicitely "
                    "to `path`. To silence this warning, pass `postgresql+psycopg` "
                    "explicitely to `path`."
                )
                return path.replace("postgresql://", "postgresql+psycopg://")
        return path


class MaterializationConfig(BaseModel):
    """Configuration options for feature materialization behavior."""

    pull_latest_features: StrictBool = False
    """ bool: If true, feature retrieval jobs will only pull the latest feature values for each entity.
        If false, feature retrieval jobs will pull all feature values within the specified time range. """


class RepoConfig(FeastBaseModel):
    """Repo config. Typically loaded from `feature_store.yaml`"""

    project: StrictStr
    """ str: This acts as a Feast unique project identifier. This can be any alphanumeric string and can have '_' but can not start with '_'.
        You can have multiple independent feature repositories deployed to the same cloud
        provider account, as long as they have different project identifier.
    """

    project_description: Optional[StrictStr] = None
    """ str: Optional description of the project to provide context about the project's purpose and usage.
    """

    provider: StrictStr = "local"
    """ str: local or gcp or aws """

    registry_config: Any = Field(alias="registry", default="data/registry.db")
    """ Configures the registry.
        Can be:
            1. str: a path to a file based registry (a local path, or remote object storage path, e.g. a GCS URI)
            2. RegistryConfig: A fully specified file based registry or SQL based registry
            3. SnowflakeRegistryConfig: Using a Snowflake table to store the registry
    """

    online_config: Any = Field(None, alias="online_store")
    """ OnlineStoreConfig: Online store configuration (optional depending on provider) """

    auth: Any = Field(None, alias="auth")
    """ auth: Optional if the services needs the authentication against IDPs (optional depending on provider) """

    offline_config: Any = Field(None, alias="offline_store")
    """ OfflineStoreConfig: Offline store configuration (optional depending on provider) """

    batch_engine_config: Any = Field(None, alias="batch_engine")
    """ BatchMaterializationEngine: Batch materialization configuration (optional depending on provider)"""

    feature_server: Optional[Any] = None
    """ FeatureServerConfig: Feature server configuration (optional depending on provider) """

    flags: Any = None
    """ Flags (deprecated field): Feature flags for experimental features """

    repo_path: Optional[Path] = None
    """When using relative path in FileSource path, this parameter is mandatory"""

    entity_key_serialization_version: StrictInt = 3
    """ Entity key serialization version: This version is used to control what serialization scheme is
    used when writing data to the online store.
    A value of 3 uses the latest serialization scheme, supported as of Feast 0.38.

    Version Schemas:
    v3: add entity_key value length to serialized bytes to enable deserialization, which can be used in retrieval of entity_key in document retrieval.
    """

    coerce_tz_aware: Optional[bool] = True
    """ If True, coerces entity_df timestamp columns to be timezone aware (to UTC by default). """

    materialization_config: MaterializationConfig = Field(
        MaterializationConfig(), alias="materialization"
    )
    """ MaterializationConfig: Configuration options for feature materialization behavior. """

    def __init__(self, **data: Any):
        super().__init__(**data)

        self._registry = None
        if "registry" not in data:
            raise FeastRegistryNotSetError()
        self.registry_config = data["registry"]

        self._offline_store = None
        self.offline_config = data.get("offline_store", "dask")

        self._online_store = None
        self.online_config = data.get("online_store", "sqlite")

        self._auth = None
        if "auth" not in data:
            self.auth = dict()
            self.auth["type"] = AuthType.NONE.value
        else:
            self.auth = data.get("auth")

        self._batch_engine = None
        if "batch_engine" in data:
            self.batch_engine_config = data["batch_engine"]
        elif "batch_engine_config" in data:
            self.batch_engine_config = data["batch_engine_config"]
        else:
            # Defaults to using local in-process materialization engine.
            self.batch_engine_config = "local"

        if isinstance(self.feature_server, Dict):
            self.feature_server = get_feature_server_config_from_type(
                self.feature_server["type"]
            )(**self.feature_server)

        if self.entity_key_serialization_version < 3:
            warnings.warn(
                "The serialization version below 3 are deprecated. "
                "Specifying `entity_key_serialization_version` to 3 is recommended.",
                DeprecationWarning,
            )

    @property
    def registry(self):
        if not self._registry:
            if isinstance(self.registry_config, Dict):
                if "registry_type" in self.registry_config:
                    self._registry = get_registry_config_from_type(
                        self.registry_config["registry_type"]
                    )(**self.registry_config)
                else:
                    # This may be a custom registry store, which does not need a 'registry_type'
                    self._registry = RegistryConfig(**self.registry_config)
            elif isinstance(self.registry_config, str):
                # User passed in just a path to file registry
                self._registry = get_registry_config_from_type("file")(
                    path=self.registry_config
                )
            elif self.registry_config:
                self._registry = self.registry_config
        return self._registry

    @property
    def offline_store(self):
        if not self._offline_store:
            if isinstance(self.offline_config, Dict):
                self._offline_store = get_offline_config_from_type(
                    self.offline_config["type"]
                )(**self.offline_config)
            elif isinstance(self.offline_config, str):
                self._offline_store = get_offline_config_from_type(
                    self.offline_config
                )()
            elif self.offline_config:
                self._offline_store = self.offline_config
        return self._offline_store

    @property
    def auth_config(self):
        if not self._auth:
            if isinstance(self.auth, Dict):
                # treat this auth block as *client-side* OIDC when it matches
                #   1)  ROPG            – username + password + client_secret
                #   2)  client-credentials – client_secret only
                #   3)  static token    – token
                is_oidc_client = self.auth.get("type") == AuthType.OIDC.value and (
                    (
                        "username" in self.auth
                        and "password" in self.auth
                        and "client_secret" in self.auth
                    )  # 1
                    or (
                        "client_secret" in self.auth
                        and "username" not in self.auth
                        and "password" not in self.auth
                    )  # 2
                    or ("token" in self.auth)  # 3
                )
                self._auth = get_auth_config_from_type(
                    "oidc_client" if is_oidc_client else self.auth.get("type")
                )(**self.auth)
            elif isinstance(self.auth, str):
                self._auth = get_auth_config_from_type(self.auth)()
            elif self.auth:
                self._auth = self.auth

        return self._auth

    @property
    def online_store(self):
        if not self._online_store:
            if isinstance(self.online_config, Dict):
                self._online_store = get_online_config_from_type(
                    self.online_config["type"]
                )(**self.online_config)
            elif isinstance(self.online_config, str):
                self._online_store = get_online_config_from_type(self.online_config)()
            elif self.online_config:
                self._online_store = self.online_config

        return self._online_store

    @property
    def batch_engine(self):
        if not self._batch_engine:
            if isinstance(self.batch_engine_config, Dict):
                self._batch_engine = get_batch_engine_config_from_type(
                    self.batch_engine_config["type"]
                )(**self.batch_engine_config)
            elif isinstance(self.batch_engine_config, str):
                self._batch_engine = get_batch_engine_config_from_type(
                    self.batch_engine_config
                )()
            elif self.batch_engine_config:
                self._batch_engine = self._batch_engine

        return self._batch_engine

    @model_validator(mode="before")
    def _validate_auth_config(cls, values: Any) -> Any:
        from feast.permissions.auth_model import AuthConfig

        if "auth" in values:
            if isinstance(values["auth"], Dict):
                if values["auth"].get("type") is None:
                    raise ValueError(
                        f"auth configuration is missing authentication type. Possible values={ALLOWED_AUTH_TYPES}"
                    )
                elif values["auth"]["type"] not in ALLOWED_AUTH_TYPES:
                    raise ValueError(
                        f"auth configuration has invalid authentication type={values['auth']['type']}. Possible "
                        f"values={ALLOWED_AUTH_TYPES}"
                    )
            elif isinstance(values["auth"], AuthConfig):
                if values["auth"].type not in ALLOWED_AUTH_TYPES:
                    raise ValueError(
                        f"auth configuration has invalid authentication type={values['auth'].type}. Possible "
                        f"values={ALLOWED_AUTH_TYPES}"
                    )
        return values

    @model_validator(mode="before")
    def _validate_online_store_config(cls, values: Any) -> Any:
        # This method will validate whether the online store configurations are set correctly. This explicit validation
        # is necessary because Pydantic Unions throw very verbose and cryptic exceptions. We also use this method to
        # impute the default online store type based on the selected provider. For the time being this method should be
        # considered tech debt until we can implement https://github.com/samuelcolvin/pydantic/issues/619 or a more
        # granular configuration system

        # Set empty online_store config if it isn't set explicitly
        if "online_store" not in values:
            values["online_store"] = dict()

        # Skip if we aren't creating the configuration from a dict or online store is null or it is a string like "None" or "null"
        if not isinstance(values["online_store"], Dict):
            if isinstance(values["online_store"], str) and values[
                "online_store"
            ].lower() in {"none", "null"}:
                values["online_store"] = None
            return values

        # Set the default type
        # This is only direct reference to a provider or online store that we should have
        # for backwards compatibility.
        if "type" not in values["online_store"]:
            values["online_store"]["type"] = "sqlite"

        online_store_type = values["online_store"]["type"]

        # Validate the dict to ensure one of the union types match
        try:
            online_config_class = get_online_config_from_type(online_store_type)
            online_config_class(**values["online_store"])
        except ValidationError as e:
            raise e

        return values

    @model_validator(mode="before")
    @classmethod
    def _validate_offline_store_config(cls, values: Any) -> Any:
        # Set empty offline_store config if it isn't set explicitly
        if "offline_store" not in values:
            values["offline_store"] = dict()

        # Skip if we aren't creating the configuration from a dict
        if not isinstance(values["offline_store"], Dict):
            return values

        # Set the default type
        if "type" not in values["offline_store"]:
            values["offline_store"]["type"] = "dask"

        offline_store_type = values["offline_store"]["type"]

        # Validate the dict to ensure one of the union types match
        try:
            offline_config_class = get_offline_config_from_type(offline_store_type)
            offline_config_class(**values["offline_store"])
        except ValidationError as e:
            raise e

        return values

    @model_validator(mode="before")
    @classmethod
    def _validate_feature_server_config(cls, values: Any) -> Any:
        # Having no feature server is the default.
        if "feature_server" not in values:
            return values

        # Skip if we aren't creating the configuration from a dict
        if not isinstance(values["feature_server"], Dict):
            return values

        defined_type = values["feature_server"].get("type", "local")
        values["feature_server"]["type"] = defined_type

        # Validate the dict to ensure one of the union types match
        try:
            feature_server_config_class = get_feature_server_config_from_type(
                defined_type
            )
            feature_server_config_class(**values["feature_server"])
        except ValidationError as e:
            raise e

        return values

    @field_validator("project")
    @classmethod
    def _validate_project_name(cls, v: str, info: ValidationInfo) -> str:
        # Deferred import to avoid circular dependency during package initialization.
        from feast.repo_operations import is_valid_name

        sqlite_compatible = False

        online_store = info.data.get("online_store") if info else None
        if online_store is None or online_store == {}:
            sqlite_compatible = True
        elif isinstance(online_store, dict):
            sqlite_compatible = online_store.get("type", "sqlite") == "sqlite"

        if not is_valid_name(v):
            raise ValueError(
                f"Project name, {v}, should only have "
                f"alphanumerical values, underscores, and hyphens but not start with an underscore or hyphen."
            )

        if sqlite_compatible and "-" in v:
            raise ValueError(
                "Project names for SQLite online stores cannot contain hyphens because they are used in table names."
            )
        return v

    @field_validator("flags")
    @classmethod
    def _validate_flags(cls, v: Optional[dict]) -> Optional[dict]:
        if not isinstance(v, dict):
            return v

        _logger.warning(
            "Flags are no longer necessary in Feast. Experimental features will log warnings instead."
        )

        return v

    def write_to_path(self, repo_path: Path):
        config_path = repo_path / "feature_store.yaml"
        with open(config_path, mode="w") as f:
            yaml.dump(
                yaml.safe_load(
                    self.json(
                        exclude={"repo_path"},
                        exclude_unset=True,
                    )
                ),
                f,
                sort_keys=False,
            )

    model_config = ConfigDict(populate_by_name=True)


class FeastConfigError(Exception):
    def __init__(self, error_message, config_path):
        self._error_message = error_message
        self._config_path = config_path
        super().__init__(self._error_message)

    def __str__(self) -> str:
        return f"{self._error_message}\nat {self._config_path}"

    def __repr__(self) -> str:
        return (
            f"FeastConfigError({repr(self._error_message)}, {repr(self._config_path)})"
        )


def get_data_source_class_from_type(data_source_type: str):
    module_name, config_class_name = data_source_type.rsplit(".", 1)
    return import_class(module_name, config_class_name, "DataSource")


def get_registry_config_from_type(registry_type: str):
    # We do not support custom registry's right now
    if registry_type not in REGISTRY_CLASS_FOR_TYPE:
        raise FeastRegistryTypeInvalidError(registry_type)
    registry_type = REGISTRY_CLASS_FOR_TYPE[registry_type]
    module_name, registry_class_type = registry_type.rsplit(".", 1)
    config_class_name = f"{registry_class_type}Config"
    return import_class(module_name, config_class_name, config_class_name)


def get_batch_engine_config_from_type(batch_engine_type: str):
    if batch_engine_type in BATCH_ENGINE_CLASS_FOR_TYPE:
        batch_engine_type = BATCH_ENGINE_CLASS_FOR_TYPE[batch_engine_type]
    else:
        assert batch_engine_type.endswith("Engine")
    module_name, batch_engine_class_type = batch_engine_type.rsplit(".", 1)
    config_class_name = f"{batch_engine_class_type}Config"

    return import_class(module_name, config_class_name, config_class_name)


def get_online_config_from_type(online_store_type: str):
    if online_store_type in ONLINE_STORE_CLASS_FOR_TYPE:
        online_store_type = ONLINE_STORE_CLASS_FOR_TYPE[online_store_type]
    elif not online_store_type.endswith("OnlineStore"):
        raise FeastOnlineStoreInvalidName(online_store_type)
    module_name, online_store_class_type = online_store_type.rsplit(".", 1)
    config_class_name = f"{online_store_class_type}Config"

    return import_class(module_name, config_class_name, config_class_name)


def get_auth_config_from_type(auth_config_type: str):
    if auth_config_type in AUTH_CONFIGS_CLASS_FOR_TYPE:
        auth_config_type = AUTH_CONFIGS_CLASS_FOR_TYPE[auth_config_type]
    elif not auth_config_type.endswith("AuthConfig"):
        raise FeastInvalidAuthConfigClass(auth_config_type)
    module_name, online_store_class_type = auth_config_type.rsplit(".", 1)
    config_class_name = f"{online_store_class_type}"

    return import_class(module_name, config_class_name, config_class_name)


def get_offline_store_type(offline_store_type: str):
    if offline_store_type in OFFLINE_STORE_CLASS_FOR_TYPE:
        return OFFLINE_STORE_CLASS_FOR_TYPE[offline_store_type]
    elif not offline_store_type.endswith("OfflineStore"):
        raise FeastOfflineStoreInvalidName(offline_store_type)
    return offline_store_type


def get_offline_config_from_type(offline_store_type: str):
    offline_store_type = get_offline_store_type(offline_store_type)
    module_name, offline_store_class_type = offline_store_type.rsplit(".", 1)
    config_class_name = f"{offline_store_class_type}Config"

    return import_class(module_name, config_class_name, config_class_name)


def get_feature_server_config_from_type(feature_server_type: str):
    # We do not support custom feature servers right now.
    if feature_server_type not in FEATURE_SERVER_CONFIG_CLASS_FOR_TYPE:
        raise FeastFeatureServerTypeInvalidError(feature_server_type)

    feature_server_type = FEATURE_SERVER_CONFIG_CLASS_FOR_TYPE[feature_server_type]
    module_name, config_class_name = feature_server_type.rsplit(".", 1)
    return import_class(module_name, config_class_name, config_class_name)


def load_repo_config(repo_path: Path, fs_yaml_file: Path) -> RepoConfig:
    config_path = fs_yaml_file

    with open(config_path) as f:
        raw_config = yaml.safe_load(os.path.expandvars(f.read()))
        try:
            c = RepoConfig(**raw_config)
            c.repo_path = repo_path
            return c
        except ValidationError as e:
            raise FeastConfigError(e, config_path)
